Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture Exercise Solution
In this video, we will cover DNN architecture exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture
In this video, we will cover DNN architecture. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Deep Neural Network Architecture
In this video, we will cover deep neural network architecture. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Why Convolution
In this video, we will understand why convolution. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Activity
In this video, we will cover activity. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToOne Model
In this video, we will cover ManyToOne model. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Solution 01
In this video, we will cover ManyToMany model solution 01. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model
In this video, we will cover ManyToMany model. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Different Sizes Model
In this video, we will cover ManyToMany different sizes model. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Activity Many to One Solution
In this video, we will cover activity ManyToOne solution. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Introduction
In this video, we will cover an introduction to the Project Book Writer. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Data Mapping
In this video, we will cover data mapping. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Why Derivatives
In this video, we will understand why derivatives. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Space Complexity – Part 1
This is the first part of the two-part video that provides an introduction to space complexity. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: Introduction Vanishing Gradients in RNN
In this video, we will cover vanishing gradients in RNN. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vocabulary Implementation
In this video, we will cover vocabulary implementation. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Frames Techniques - Real Time Example
This video presents a real-time example for frames techniques. This clip is from the chapter "Techniques to Automate Ajax Calls, Child Windows, and iFrames" of the series "Selenium WebDriver with Java - Basics to Advanced and...
Programming Electronics Academy
Logic Levels: Arduino Course 4.1
A description of HIGH and LOW logic levels and binary.
ACDC Leadership
Diminishing Marginal Returns- High School Version
This video covers the following topics: -Fixed resources -Variable resources -Specialization -The law of diminishing marginal returns -The three stages of returns
Brian McLogan
How to evaluate for three different values of a piecewise function
👉 Learn how to evaluate a piecewise function. A piecewise function is a function which uses different rules for different intervals. When evaluating a piecewise function, pay attention to the constraints of each function as you can only...
Practical Ninjas
Laws of Boolean Algebra | DeMorgan's theorem (Part II) | DE.13
In this video, various laws of boolean algebra are explained such as commutative law, associative law, consensus theorem, Distributive law, Idempotent law, Complementary law, the law of union and law of intersection. You don't have to...
Brian McLogan
What is a sequence
👉 Learn about sequences. A sequence is a list of numbers/values exhibiting a defined pattern. A number/value in a sequence is called a term of the sequence. There are many types of sequence, among which are: arithmetic and geometric...
Curated Video
How to Translate Linear Functions
In this math lesson, we learn about translating linear functions through horizontal and vertical transformations. The teacher explains the concept of function notation and how it relates to these transformations, providing examples and...